International Journal for Uncertainty Quantification
Publicado 6 números por año
ISSN Imprimir: 2152-5080
ISSN En Línea: 2152-5099
IF:
1.7
5-Year IF:
1.9
Immediacy Index:
0.5
Eigenfactor:
0.0007
JCI:
0.5
SJR:
0.584
SNIP:
0.676
CiteScore™::
3
H-Index:
25
Indexed in
Volumen 2, 2012 Edición 1
DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i1
ON THE ROBUSTNESS OF STRUCTURAL RISK OPTIMIZATION WITH RESPECT TO EPISTEMIC UNCERTAINTIES
pp. 1-20
DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i1.20
DISTANCES AND DIAMETERS IN CONCENTRATION INEQUALITIES: FROM GEOMETRY TO OPTIMAL ASSIGNMENT OF SAMPLING RESOURCES
pp. 21-38
DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i1.30
A NON-PARAMETRIC METHOD FOR INCURRED BUT NOT REPORTED CLAIM RESERVE ESTIMATION
pp. 39-51
DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i1.40
UNCERTAINTY QUANTIFICATION IN COMPUTATIONAL PREDICTIVE MODELS FOR FLUID DYNAMICS USING A WORKFLOW MANAGEMENT ENGINE
pp. 53-71
DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i1.50
ON THE ROLE OF DATA MINING TECHNIQUES IN UNCERTAINTY QUANTIFICATION
pp. 73-94
DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i1.60
Último edicion
MODEL ERROR ESTIMATION USING PEARSON SYSTEM WITH APPLICATION TO NONLINEAR WAVES IN COMPRESSIBLE FLOWS
DECISION THEORETIC BOOTSTRAPPING
UNCERTAINTY QUANTIFICATION AND GLOBAL SENSITIVITY ANALYSIS OF SEISMIC FRAGILITY CURVES USING KRIGING
STOCHASTIC GALERKIN METHOD AND PORT-HAMILTONIAN FORM FOR LINEAR FIRST-ORDER ORDINARY DIFFERENTIAL EQUATIONS
Próximos Artículos
EXTREME LEARNING MACHINES FOR VARIANCE-BASED GLOBAL SENSITIVITY ANALYSIS
Application of global sensitivity analysis for identification of probabilistic design spaces
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Stochastic Galerkin method and port-Hamiltonian form for linear first-order ordinary differential equations
Analysis of the Challenges in Developing Sample-Based Multi-fidelity Estimators for Non-deterministic Models